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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Observability and Maintenance | 15% | - Implement probes and health checks - Work with container logs - Monitor applications using CLI tools - Understand API deprecations - Debug applications in Kubernetes |
| Topic 2: Application Deployment | 20% | - Work with Kustomize - Use Helm package manager - Implement deployment strategies - Manage Deployments, rolling updates and rollbacks |
| Topic 3: Services and Networking | 20% | - Expose applications via Services - Troubleshoot network access - Use Ingress rules - Understand and apply NetworkPolicies |
| Topic 4: Application Design and Build | 20% | - Understand multi-container Pod design patterns - Choose and use appropriate workload resources - Define, build and modify container images - Utilize persistent and ephemeral volumes |
| Topic 5: Application Environment, Configuration and Security | 25% | - Use custom resources and extensions - Use ServiceAccounts - Create and consume Secrets - Understand authentication, authorization and admission control - Configure resource requirements, limits and quotas - Apply application security settings - Work with ConfigMaps |
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NEW QUESTION # 25
You are building a Kubernetes application tnat requires persistent storage for its dat a. The application needs to be able to access the data even if the pod is restarted or deleted. You have a PersistentVolumeClaim (PVC) defined for this purpose.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a PersistentVolume (PV):
- Define a PV with a suitable storage class, access modes (ReadWriteOnce), and a capacity that meets your application's storage requirements.
- Example:
2. Create a PersistentVolumeClaim (PVC): - Define a PVC with the desired storage class and access modes. - Specify the desired storage capacity. - Example:
3. Create a Deployment With the PVC: - In the Deployment YAML, define a volume mount that uses the PVC you created_ - Specify the volume mount path within the container. - Example:
4. Create the Deployment: - Apply the Deployment YAML using 'kubectl apply -f my-app-deployment.yamr 5. Verify the Deployment - Check the status of the Deployment using 'kubectl get deployments my-app' - Verify that the Pod is running and using the PersistentVolumeClaim. - You can also check the pod's logs for confirmation that the data is stored in the mounted volume.
NEW QUESTION # 26 
Task
You are required to create a pod that requests a certain amount of CPU and memory, so it gets scheduled to-a node that has those resources available.
* Create a pod named nginx-resources in the pod-resources namespace that requests a minimum of 200m CPU and 1Gi memory for its container
* The pod should use the nginx image
* The pod-resources namespace has already been created
Answer:
Explanation:
See the solution below.
Explanation
Solution:
NEW QUESTION # 27
You have a Kustomization file that uses a resource patch to modify the deployment of an Nginx service. The patch uses the field to set the CPLJ request for the container to 500m. However, you've noticed that this patch is no longer working as expected. You've been informed that the field has been deprecated and replaced with a new field structure in newer Kubernetes API versions. Explain how to update the Kustomization file to accommodate this change, ensuring compatibility with both older and newer Kubernetes versions.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify tne New Field Structure: Research the updated field structure for container resource definitions in the newer Kubernetes API version. The new structure likely utilizes nested resource fields for each container, like instead of a flat structure.
2. Update the Kustomization Patch: Modify the resource patch in your Kustomization file to use the updated field structure. If the newer field structure is 'spec-template-spec-containers[l.resources.requests.cpu' , update your patch accordingly. This could involve changing the patch's path or using a different patch strategy, such as a strategic merge patch.
3. Consider Conditional Patches: If you need to support both older and newer Kubernetes versions, utilize conditional patches in your Kustomization file. This allows you to apply different patcnes based on the Kubernetes API version detected. You can use Kustomize's 'patchJson6902' strategy With a conditional statement to apply the correct patch depending on the API version.
4. Test the Updated Kustomization: Deploy your Kustomization to a cluster running both older and newer Kubernetes versions. Validate that the CPU requests are correctly applied to the Nginx deployment containers in each version. Verify that the patcnes are being applied appropriately based on the detected Kubernetes API version. 5. Document Changes: Ensure that the updated Kustomization file and any conditional logic are well-documented to prevent future confusion or errors when deploying to different Kubernetes environments. By following these steps, you can successfully update your Kustomization file to accommodate the deprecated field structure and ensure compatibility with different Kubernetes API versions. This will allow you to manage and configure your deployments effectively, even as Kubernetes evolves.
NEW QUESTION # 28
You have a Deployment named 'my-app-deployment' running an application that requires a specific version of a database. This version is available in a private Docker registry with access credentials stored in a Secret. How would you configure the Deployment to pull the database image from the private registry using the Secret's credentials?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Secret:
- Create a secret containing the usemame and password required to access the private registry.
- Replace 'your-registry-username' and 'your-registry-password' with your actual credentials.
2. Update the Deployment - Modify the Deployment configuration to include the 'imagePullSecrets' field. - Add the name oftne secret you created in the previous step. - Replace 'your-private-registry-domain/your-database-image:your-version' with the actual image name and version.
3. Apply the Changes: - Apply the updated Deployment configuration using 'kubectl apply -f my-app-deployment.yamr. 4. Verify the Pull: - Check the logs of the Pods in the Deployment. You should see messages indicating that the database image is pulled from the private registry using the provided credentials.
NEW QUESTION # 29
Context
Given a container that writes a log file in format A and a container that converts log files from format A to format B, create a deployment that runs both containers such that the log files from the first container are converted by the second container, emitting logs in format B.
Task:
* Create a deployment named deployment-xyz in the default namespace, that:
* Includes a primary
lfccncf/busybox:1 container, named logger-dev
* includes a sidecar Ifccncf/fluentd:v0.12 container, named adapter-zen
* Mounts a shared volume /tmp/log on both containers, which does not persist when the pod is deleted
* Instructs the logger-dev
container to run the command
which should output logs to /tmp/log/input.log in plain text format, with example values:
* The adapter-zen sidecar container should read /tmp/log/input.log and output the data to /tmp/log/output.* in Fluentd JSON format. Note that no knowledge of Fluentd is required to complete this task: all you will need to achieve this is to create the ConfigMap from the spec file provided at /opt/KDMC00102/fluentd-configma p.yaml , and mount that ConfigMap to /fluentd/etc in the adapter-zen sidecar container
Answer:
Explanation:
Solution:
NEW QUESTION # 30
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